For (a), by independence of increments we have
\begin{align}
\mathbb E[N(t)\mid N(s) = 4] &= \mathbb E[N(t)-N(s) + N(s)\mid N(s) = 4]\\
&= \mathbb E[N(t)-N(s)\mid N(s)=4] + \mathbb E[N(s)\mid N(s) = 4]\\
&= \mathbb E[N(t)-N(s)] + 4\\
&= \lambda(t-s) + 4.
\end{align}
For (b), we "reverse" the conditioning as follows:
\begin{align}
\mathbb E[N(s)\mid N(t)=4] &= \sum_{j=0}^4 j\cdot\mathbb P(N(s)=j\mid N(t)=4)\\
&= \sum_{j=0}^4 \frac{\mathbb P(N(s)=j,N(t)=4)}{\mathbb P(N(t)=4)}\\
&=\sum_{j=0}^4 \frac{\mathbb P(N(t)=4\mid N(s)=j)\mathbb P(N(s)=j)}{\mathbb P(N(t)=4)}\\\\
&=\sum_{j=0}^4 \frac{\mathbb P(N(t-s)=4-j)\mathbb P(N(s)=j)}{\mathbb P(N(t)=4}\\
&=\sum_{j=0}^4 \frac{e^{-\lambda(t-s)}(\lambda(t-s))^{4-j}/(4-j)!e^{-\lambda s}(\lambda s)^j/j!}{e^{-\lambda t}(\lambda t)^4/4!}\\
&= \frac{4s}t.
\end{align}